Co-occurring keywords · papers mentioning both
Papers
Online Learning for Latent Dirichlet Allocation
NeurIPS 2010
Word Features for Latent Dirichlet Allocation
NeurIPS 2010
An Additive Latent Feature Model for Transparent Object Recognition
NeurIPS 2009
A Stochastic approximation method for inference in probabilistic graphical models
NeurIPS 2009
Dirichlet-Bernoulli Alignment: A Generative Model for Multi-Class Multi-Label Multi-Instance Corpora
NeurIPS 2009
Distributed Algorithms for Topic Models
JMLR 2009
Parallel Inference for Latent Dirichlet Allocation on Graphics Processing Units
NeurIPS 2009
Replicated Softmax: an Undirected Topic Model
NeurIPS 2009
Rethinking LDA: Why Priors Matter
NeurIPS 2009
Unsupervised discovery of object classes from range data using latent Dirichlet allocation
RSS 2009
Asynchronous Distributed Learning of Topic Models
NeurIPS 2008
DiscLDA: Discriminative Learning for Dimensionality Reduction and Classification
NeurIPS 2008
Relative Performance Guarantees for Approximate Inference in Latent Dirichlet Allocation
NeurIPS 2008
Unsupervised Learning of Visual Sense Models for Polysemous Words
NeurIPS 2008
A Bayesian LDA-based model for semi-supervised part-of-speech tagging
NeurIPS 2007
Collapsed Variational Inference for HDP
NeurIPS 2007
Distributed Inference for Latent Dirichlet Allocation
NeurIPS 2007
Sparse Overcomplete Latent Variable Decomposition of Counts Data
NeurIPS 2007
Spatial Latent Dirichlet Allocation
NeurIPS 2007
Supervised Topic Models
NeurIPS 2007
A Collapsed Variational Bayesian Inference Algorithm for Latent Dirichlet Allocation
NeurIPS 2006
Detecting Humans via Their Pose
NeurIPS 2006
Modeling General and Specific Aspects of Documents with a Probabilistic Topic Model
NeurIPS 2006
Latent Dirichlet Allocation
JMLR 2003
Matching Words and Pictures
JMLR 2003